93 search results - page 4 / 19 » Maximal Discrepancy for Support Vector Machines |
88
Voted
CVPR
2001
IEEE
16 years 1 months ago
2001
IEEE
Support Vector Tracking (SVT) integrates the Support Vector Machine (SVM) classifier into an optic-flow-based tracker. Instead of minimizing an intensity difference function betwee...
BMCBI
2008
14 years 11 months ago
2008
Background: Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular sig...
99
Voted
ICML
1998
IEEE
16 years 13 days ago
1998
IEEE
Computational comparison is made between two feature selection approaches for nding a separating plane that discriminates between two point sets in an n-dimensional feature space ...
116
Voted
KSEM
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
104
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SADM
2010
14 years 10 months ago
2010
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...